We present a click-based interactive segmentation for indoor scenes, which allows the user to select an object or region within the scene in a few clicks. The goal for the click-based approach is to provide the user with a simple method to reduce the amount of input required for segmentation. We first present an effective global segmentation strategy, which provides a rough separation of different textures. The user, then, places a few clicks to segment the target. A novel Trimap assignment strategy is proposed to utilize the click information. To study the performance of our method, psychophysical experiments were conducted to compare our click-based approach with other existing methods.
Chun-Jung Tai, Tongyang Liu, Judy Bagchi, Fengqing M. Zhu, Jan P. Allebach, "Interactive Segmentation For Indoor Scenes" in Proc. IS&T Int’l. Symp. on Electronic Imaging: Imaging and Multimedia Analytics in a Web and Mobile World, 2017, pp 51 - 59, https://doi.org/10.2352/ISSN.2470-1173.2017.10.IMAWM-167